intro Introduction to Computer Vision

Microsoft PowerPoint lect1 intro Introduction to Computer Vision Dr Chang Shu COMP 4900C Winter 2008 Instructors Chang Shu (chang shunrc cnrc gc ca) Gerhard Roth (GerhardRothrogers com) Institute fo.Microsoft PowerPoint lect1 intro Introduction to Computer Vision Dr Chang Shu COMP 4900C Winter 2008 Instructors Chang Shu (chang shunrc cnrc gc ca) Gerhard Roth (GerhardRothrogers com) Institute fo.

Introduction to Computer Vision

Dr Chang Shu COMP 4900C Winter 2008

Chang Shu (chang.shu@nrc-cnrc.gc.ca)

Gerhard Roth (GerhardRoth@rogers.com)

Institute for Information Technology

National Research Council

TA: Stefanie Wuhrer

Course website:

www.scs.carleton.ca/~c_shu/Courses/comp4900d/

What is Computer Vision?

The goal of computer vision is to develop algorithms that allow computer to “see”

Also called

• Image Understanding

• Image Analysis

• Machine Vision

General visual perception is hard

Digital Image

A brief history of computer vision

• 1960s - started as a student summer project at MIT

• 1970s and 80s – part of AI – understanding

human vision and emulating human perception

• 1990s – depart from AI , geometric approach

• Today – various mathematical methods

(statistics, differential equations, optimization), applications (security, robotics, graphics)

What is Computer Vision?

Trucco & Verri:

Computing properties of the 3-D world from one or more digital images

Properties: mainly physical (geometric, dynamic, etc.)

My favorite:

Computer vision is inverse optics.

Applications: 3D Reconstruction

Augmented Reality

Panoramic Mosaics

Applications: Recognition

ESC Entertainment, XYZRGB, NRC

Applications: Special Effects

Andy Serkis, Gollum, Lord of the Rings

Applications: Special Effects

Applications: Medical Imaging

Autonomous Vehicle

Flakey, SRI

Applications: Robotics

Applications: Surveillance

Programming tools

• OpenCV – an open source library for computer vision

• Ch – a C interpretation environment

Line fitting, Ellipse finding.

Part II (Gerhard Roth) – Camera calibration, Stereo, Recognition, Augmented reality.

Four assignments (50%)Two mid-terms (50%)

Programming tools

• OpenCV

• A library of routines useful for computer vision

• Open Source system widely used around the world

• Contains many examples and demo programs

• Requires VC++ or Ch interpreter to use

• VC++ or Ch

• Assignments normally written in C++ or C

• The easiest way to use the OpenCV library is with

– VC++ 6.0 (examples are on the CD) – The net version of VC++ should also work – Another option is Ch, a C interpreter (also on the CD) – No advantages over C++ except ease of use (but slower)

• Course CD has OpenCV and Ch interpreter